Senior Data Engineer - DBT & Snowflake

5 - 9 years

0 Lacs

Posted:1 month ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

At Systech Solutions, Inc., a data and analytics firm specializing in cloud, data engineering, AI, and machine learning solutions, you will have the opportunity to leverage your expertise as a Senior Data Engineer - DBT & Snowflake. With over 30 years of industry experience and a global footprint, we focus on empowering businesses to address intricate challenges through the seamless integration of data, business strategy, and technology. Our commitment to a technology-agnostic approach and strategic partnerships with industry leaders enables us to craft tailored solutions across a range of sectors including finance, retail, manufacturing, healthcare, and insurance. By prioritizing efficiency and cost-effectiveness, we have maintained an exceptional customer retention rate exceeding 90% and have been acknowledged by Inc. Magazine for our ability to convert challenges into growth prospects. In this full-time, hybrid role based in Chennai, with the option for some remote work, you will play a pivotal role in designing, implementing, and overseeing data transformation processes utilizing DBT and Snowflake technologies. As a Senior Data Engineer, your responsibilities will encompass the development of data models, execution of ETL processes, and construction of data warehouses. Additionally, you will be tasked with conducting data analytics to address business requirements and collaborating with diverse teams to ensure data integrity and optimize performance. To excel in this role, you should possess a solid background in Data Engineering, Data Modeling, and ETL processes, along with proficiency in Data Warehousing and Data Analytics. A deep understanding of DBT (Data Build Tool) and Snowflake is essential, coupled with exceptional problem-solving abilities and effective communication skills. The role will require you to work autonomously and adapt to a hybrid work environment. Experience in managing extensive datasets and streamlining data processes will be advantageous. A Bachelor's degree in Computer Science, Information Technology, or a related field is required, while prior exposure to industries such as finance, retail, manufacturing, healthcare, or insurance will be beneficial.,

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